# User Acquisition

### Understand the dashboard 

<table data-header-hidden><thead><tr><th width="134.0703125"></th><th></th></tr></thead><tbody><tr><td><strong>Metric</strong></td><td><strong>Definition</strong></td></tr><tr><td>New Users</td><td>The count of unique users who triggered the first_visit or first_open event within a specified date range, representing first-time interactions with your site or app.</td></tr><tr><td>Active Users</td><td>The number of unique users who had an engaged session on your site or app within a specified date range.</td></tr><tr><td>Event</td><td>The fundamental unit of measurement in GA4. An event captures any distinct user interaction (e.g., button clicks, video plays) or system occurrence on your website or app.</td></tr><tr><td>Page View</td><td>A specific core event (page_view) automatically triggers each time a user loads a webpage or when the browser's history state changes.</td></tr><tr><td>Scroll</td><td>An Enhanced Measurement event (scroll) logged exactly once per page when a user scrolls to 90% of the webpage's vertical depth.</td></tr></tbody></table>

#### **1. Trend Analysis Charts**

**1.1. Are you acquiring high-quality new users?**

This chart compares the daily volume of **New Users** against actual **Installs**.&#x20;

<figure><img src="https://3107817457-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F8KaEyTr3mMTLCU7QQyAU%2Fuploads%2FTxpjuio5oHS9htQm5FuQ%2Funknown.png?alt=media&#x26;token=e41fccf5-9a55-45ea-824d-485aacd9e007" alt="" width="370"><figcaption></figcaption></figure>

It helps you visualize if your traffic-generating efforts are successfully converting into app installations.

**1.2. Are users engaging at the top but missing the rest?**

This chart tracks the relationship between total **Active Users** and **New Users**.&#x20;

<figure><img src="https://3107817457-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F8KaEyTr3mMTLCU7QQyAU%2Fuploads%2F0lvIhNsEbFQARE1Eebn0%2Funknown.png?alt=media&#x26;token=3d00413d-a650-457d-9948-6626f2ac3271" alt="" width="370"><figcaption></figcaption></figure>

A close overlap suggests your traffic is primarily driven by new acquisitions, while a gap indicates a healthy base of retained users.

**1.3. Are active users mostly new or retained?**

This chart evaluates the depth of user interaction.

<figure><img src="https://3107817457-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F8KaEyTr3mMTLCU7QQyAU%2Fuploads%2FScE5mu9aYvPaYKEj2t59%2Funknown.png?alt=media&#x26;token=b8d23c95-8f46-46ed-ae97-1c7d652d88d4" alt="" width="369"><figcaption></figcaption></figure>

By comparing **Avg Engagement** with the **Scroll Rate**, you can identify if users are only viewing the top fold of your page or exploring your content deeply.

**1.4. Is the conversion funnel healthy?**

This area chart visualizes the volume drop-off throughout the acquisition journey, from **Page Vỉew** to **Add App Button** and **Shopify App Install**.

<figure><img src="https://3107817457-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F8KaEyTr3mMTLCU7QQyAU%2Fuploads%2FbalXT1J4zw9HLzy2Q8zf%2Funknown.png?alt=media&#x26;token=eb04e7cc-22cb-4c27-a6bb-975985077200" alt="" width="370"><figcaption></figcaption></figure>

#### **2. Performance Analysis Charts**

**2.1. Do page views convert to actual installs?**

A funnel visualization that calculates the conversion percentage between each critical stage. It highlights exactly where potential users are dropping off in your sales process.

<figure><img src="https://3107817457-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F8KaEyTr3mMTLCU7QQyAU%2Fuploads%2FDoIANYk2oISFQR7lqie2%2Funknown.png?alt=media&#x26;token=0395b618-a970-496e-b38d-a3d668e61b6a" alt="" width="375"><figcaption></figcaption></figure>

**2.2. Which types of your users?**

A scatter plot that segments your **Active Users** based on their engagement behavior and scroll depth.

<figure><img src="https://3107817457-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F8KaEyTr3mMTLCU7QQyAU%2Fuploads%2FO2Ohyr6rvSkgoKgdEsXm%2Funknown.png?alt=media&#x26;token=dec7ae15-f188-485d-9a56-bc62459819e2" alt="" width="329"><figcaption></figcaption></figure>

Larger dots indicate a higher concentration of users in that specific engagement segment.

By mapping the relationship between active interaction and scroll depth, this chart categorizes your audience into four distinct **Engagement Typologies**. Understanding these profiles helps you determine if users are truly consuming your value proposition or just passing through:

* **High Interest:** Highly active users who scroll deep and interact frequently.
* **Skimmers:** Users who scroll deep into the content but rarely interact.
* **Top Heavy:** Users who engage mainly at the top and miss the rest of the page.
* **Low Interest:** Users who drop off quickly with minimal scrolling or interaction.

**2.3. Which sources drive quality over quantity?**

This chart compares different traffic sources *(Organic Shopping, Organic Search, Referral)* based on the volume of new users they bring in versus the average time those users spend engaged.&#x20;

<figure><img src="https://3107817457-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F8KaEyTr3mMTLCU7QQyAU%2Fuploads%2F1jhNfen5Ii3R52AVnnwr%2Funknown.png?alt=media&#x26;token=675c67e4-eb30-4959-ab5f-7f9c80e78712" alt="" width="329"><figcaption></figcaption></figure>

It helps you identify which channels provide the most valuable traffic.

​​Evaluating the volume of **New Users** against their **Average Engagement Time** reveals the true ROI of each acquisition channel. We categorize these into four **Types of Sources** to help you optimize your marketing budget:

* **Star Performers:** Excellent sources bringing in a large number of highly engaged users.
* **Hidden Gems:** Smaller sources that deliver a few, but very high-quality users.
* **Volume Drivers:** Sources generating mass traffic, but users tend to leave quickly.
* **Underperformers:** Sources bringing in few users with very low engagement.

### How User Acquisition data can benefit you

* **Focus on Quality Users:** Prioritize channels that deliver active, retained users who continue to engage with your app, rather than just driving high volumes of low-quality traffic.
* **Identify High-Value Channels:** Move beyond looking at raw traffic numbers to see which specific sources (Organic vs. Referral) actually result in app installs and high engagement.
* **Optimize the Conversion Funnel:** Pinpoint where users drop off in the journey and leverage engagement signals (clicks, scroll depth) to improve your app listing’s copy, visuals, and overall conversion performance.